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MS-DNet: A mobile neural network for plant disease identification

  • Published:2022-08 Issue: Volume:199 Page:107175
  • ISSN:0168-1699
  • Container-title:Computers and Electronics in Agriculture
  • language:en
  • Short-container-title:Computers and Electronics in Agriculture

Author:

Chen Weirong,Chen Junde,Duan Rui,Fang Yang,Ruan Quansheng,Zhang Defu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference32 articles.

1. Factors influencing the use of deep learning for plant disease recognition;Barbedo;Biosyst. Eng.,2018

2. Attention embedded lightweight network for maize disease recognition;Chen;Plant. Pathol.,2021

3. Identification of rice plant diseases using lightweight attention networks;Chen;Expert Syst. Appl.,2021

4. Deep learning models for plant disease detection and diagnosis;Ferentinos;Comput. Electron. Agric.,2018

5. Deep sparse rectifier neural networks;Glorot;J. Mach. Learn. Res.,2011

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